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Smarter	
  Customer	
  Conversa.ons	
  
Using	
  Your	
  Data	
  for	
  Be1er	
  Inbound	
  Interac6ons	
  
September	
  23,	
  2015	
  
Steven	
  Noels	
  
CTO,	
  NGDATA	
  
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Marke.ng	
  Shi4	
  
3	
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A	
  customer	
  is	
  4	
  Fmes	
  more	
  likely	
  to	
  buy	
  
from	
  a	
  compeFtor	
  if	
  the	
  problem	
  is	
  service	
  
related	
  vs.	
  price	
  or	
  product	
  related.	
  	
  
-Bain Consulting
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Customers’	
  Expecta.on	
  Shi4	
  	
  	
  
OFFER
THE RIGHT
PERSON
THE RIGHT
TIME
THE RIGHT
CHANNEL
THE RIGHT
IMPROVED FREQUENCY
IMPROVED SEPARATION
5	
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Understanding	
  Your	
  Customers	
  
Anonymous	
   Iden.fied	
   Exis.ng	
  
customers	
  	
  
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Learning	
  From	
  Your	
  Customers	
  
▪ Data must come from all internal sources to
ensure each communication opportunity is relevant
▪ Real-time knowledge must be applied
to improve communication as
individual preferences evolve over time
▪ Individuals interact with each channel
differently, but need relevant and
consistent communication with each
▪ Customers expect to be treated as individuals
7	
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Technology	
  Barriers	
  
regard	
  IT	
  roadblocks	
  and	
  lack	
  of	
  technology	
  as	
  barriers	
  
to	
  adopFng	
  or	
  improving	
  customer	
  experience	
  
Source: Econsultancy, Digital Marketing Exchange
84%
No	
  SoluFons	
  –	
  No	
  AutomaFon	
  –	
  Manual	
  Work	
  –	
  Low	
  ROI	
  
8	
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Organiza.onal	
  Barriers	
  
“Customer	
  centricity	
  is	
  a	
  culture	
  of	
  
puVng	
  the	
  customer	
  at	
  the	
  center	
  of	
  
everything	
  you	
  do.”	
  
—BRIAN SOLIS, Principal at Altimeter Group
OrganizaFonal	
  change	
  is	
  required	
  to	
  put	
  the	
  customer	
  	
  
front	
  and	
  center.	
  
This	
  means	
  more	
  than	
  just	
  a	
  technological	
  change,	
  	
  
it	
  means	
  a	
  desire	
  to	
  put	
  the	
  customer	
  first.	
  	
  
9	
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Make	
  your	
  conversaFons	
  more	
  relevant	
  
10	
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Collect	
  real-­‐Fme	
  data	
  from	
  all	
  
available	
  sources	
  on	
  the	
  
inbound	
  visitor	
  –	
  web,	
  IVR,	
  
purchase	
  history,	
  CRM,	
  
markeFng	
  program	
  behavior,	
  
etc.	
  
Personalize	
  each	
  experience	
  
with	
  the	
  right	
  messages	
  and	
  
incenFves	
  based	
  on	
  trends,	
  
preferences	
  and	
  behaviors	
  
found	
  in	
  the	
  individual	
  
profiles,	
  regardless	
  of	
  the	
  
channel	
  chosen	
  by	
  the	
  
customer	
  	
  	
  
Build	
  individual	
  profiles	
  on	
  
customers	
  that	
  consist	
  of	
  key,	
  
acFonable	
  metrics.	
  Keep	
  track	
  
of	
  trends	
  and	
  anomalies.	
  Use	
  
this	
  informaFon	
  to	
  support	
  an	
  
effecFve	
  mulFchannel	
  
experience	
  
Build	
  Strongly	
  Personalized	
  Profiles	
  
11	
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Consistent	
  
Regardless	
  of	
  the	
  channel	
  with	
  
which	
  your	
  customer	
  interacts	
  
with	
  you,	
  make	
  each	
  and	
  every	
  
interacFon	
  consistent	
  
Context	
  Aware	
  
More	
  than	
  communicaFng	
  
based	
  on	
  Fme	
  and	
  locaFon,	
  
but	
  also	
  consider	
  markeFng	
  
pressure	
  and	
  service	
  
experience	
  
Relevant	
  
Based	
  on	
  behavioral	
  data	
  and	
  
interacFons,	
  every	
  
conversaFon	
  and	
  offer	
  must	
  
be	
  relevant	
  to	
  the	
  individual	
  
Op.mize	
  Customer	
  Interac.ons	
  
12	
  Copyright	
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Ensure	
  Consistency	
  with	
  Customer	
  DNA	
  
a	
  collecFon	
  of	
  1000s	
  of	
  predefined	
  
metrics,	
  calculated	
  in	
  real	
  .me	
  and	
  
organized	
  per	
  iden.fied	
  customer	
  
based	
  on	
  a	
  variety	
  of	
  interacFon-­‐	
  
and	
  fact-­‐based	
  data	
  sources,	
  using	
  
a	
  variety	
  of	
  predefined	
  calculaFon,	
  
predicFon	
  and/or	
  retrieval	
  
methods	
  
providing	
  ac.onable	
  data	
  for	
  
markeFng	
  &	
  customer-­‐centric	
  
applicaFons	
  
13	
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Capture	
  Every	
  Interac.on	
  
M O B I L E A P P
14	
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Capture	
  Every	
  Interac.on	
  
A C C O U N T
15	
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Capture	
  Every	
  Interac.on	
  
W E B
16	
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Capture	
  Every	
  Interac.on	
  
M O B I L E W A L L E T
17	
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Capture	
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  Interac.on	
  
P U R C H A S E
18	
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Capture	
  Every	
  Interac.on	
  
A T M
19	
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Capture	
  Every	
  Interac.on	
  
C A L L C E N T E R
20	
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Real	
  Time	
  Converted	
  into	
  Core	
  Metrics...	
  	
  
21	
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Real	
  Time	
  Converted	
  into	
  Core	
  Metrics...	
  Online	
  Interac.ons	
  
22	
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Real	
  Time	
  Converted	
  into	
  Core	
  Metrics...	
  ATM	
  
23	
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Real	
  Time	
  Converted	
  into	
  Core	
  Metrics...	
  Mobile	
  Interac.ons	
  
24	
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Real	
  Time	
  Converted	
  into	
  Core	
  Metrics...	
  Call	
  Center	
  
25	
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Real	
  Time	
  Converted	
  into	
  Core	
  Metrics...	
  Payments	
  
26	
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Real	
  Time	
  Converted	
  into	
  Core	
  Metrics...	
  Every	
  Touch	
  
27	
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Revolu.on:	
  Impact	
  
Lily	
  Enterprise	
  adds	
  Ac1ons	
  and	
  Precision	
  
Opera.onal	
  Systems	
  
External	
  Data	
  
Contract/Product	
  Data	
  
Customer	
  OperaFonal	
  Data	
  
Reference	
  Data	
  
MarkeFng	
  and	
  Social	
  	
  Data	
  
Customer	
  InteracFon	
  Data	
  
Campaign	
  Data	
  
ERP/CRM	
  Data	
  
Data	
  Warehouse	
  Data	
  
Service	
  Desk	
  
Customer	
  CRM	
  and	
  IVR	
  Systems	
  
Web	
  and	
  Mobile	
  
Mobile	
  Apps	
  
Customer	
  Website	
  
Channel	
  /	
  Campaigns	
  
Mail	
  
SMS	
  
Print	
  
Broadcast	
  
MarkeFng	
  
Campaign	
  Mgt	
  
Sales	
  Office	
  
Agent	
  /	
  Advisor	
  
Social	
  Media	
  
PERSON
THE RIGHT
OFFER
THE RIGHT
CHANNEL
THE RIGHT
TIME
THE RIGHT
FeedbackInput
(Big)	
  Data	
  Lakes	
  
BI/Analy.cs	
  
Datawarehouses	
  
Customer	
  360	
  
Monitor	
  
Drive	
  
Partner	
  Apps	
  
28	
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5	
  Key	
  Factors	
  to	
  Customer	
  Experience	
  Management	
  	
  
Customer	
  DNA	
  
Atomic	
  Level	
  View	
  
OperaFonalized	
  AnalyFcs	
  
One	
  SoluFon,	
  MulFple	
  Uses	
  
Omni-­‐channel	
  Impact	
  
29	
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Knowing	
  Your	
  Audience	
  is	
  Growing	
  Your	
  Audience	
  
OPPORTUNITY	
  
•  Belgium’s	
  largest	
  newspaper	
  business	
  needed	
  to	
  adapt	
  business	
  to	
  compete	
  in	
  the	
  digital	
  age	
  
and	
  saw	
  great	
  value	
  in	
  their	
  dramaFcally	
  growing	
  online	
  business	
  
SOLUTION	
  
•  Mediahuis	
  connected	
  online	
  visit	
  data	
  with	
  subscripFon	
  data	
  from	
  mulFple	
  systems	
  to	
  
quickly	
  create	
  a	
  Customer	
  DNA	
  on	
  each	
  user	
  	
  
•  They	
  implemented	
  a	
  targeted	
  subscripFon	
  offer	
  based	
  on	
  behavior	
  and	
  propensity	
  scores	
  
found	
  through	
  the	
  Customer	
  DNA	
  to	
  increase	
  subscripFons	
  for	
  two	
  of	
  their	
  brands.	
  
RESULTS	
  
•  AcquisiFon	
  models	
  showed	
  significant	
  predicFve	
  power	
  from	
  combined	
  data/Customer	
  DNA,	
  
enabling	
  more	
  targeted	
  offers	
  	
  
•  Doubling	
  effecFveness	
  of	
  inbound	
  markeFng	
  programs	
  
•  Adding	
  more	
  brands	
  to	
  the	
  program	
  and	
  beginning	
  targeted	
  inbound/acquisiFon	
  programs	
  to	
  
more	
  effecFvely	
  engage	
  with	
  both	
  known	
  and	
  anonymous	
  users	
  
2xINCREASE IN THE
EFFECTIVENESS OF
INBOUND
MARKETING
CAMPAIGNS
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Be[er	
  Service	
  /	
  Lower	
  Costs	
  
OPPORTUNITY	
  
•  Essent	
  supplies	
  electricity	
  and	
  gas	
  to	
  350,000	
  customers	
  in	
  Belgium,	
  owned	
  by	
  top	
  5	
  European	
  (German)	
  
energy	
  supplier	
  RWE	
  Group	
  
•  They	
  wanted	
  to	
  deliver	
  bejer	
  service	
  to	
  their	
  customers	
  while	
  lowering	
  their	
  call	
  center	
  costs	
  –	
  specifically	
  
around	
  inbound	
  calls	
  regarding	
  invoicing	
  -­‐	
  which	
  can	
  be	
  lengthy	
  and	
  costly	
  
SOLUTION	
  
•  They	
  created	
  a	
  DNA	
  on	
  each	
  customer	
  from	
  data	
  stored	
  in	
  different	
  systems	
  (CRM	
  –	
  contract,	
  billing,	
  usage,	
  
etc.,	
  and	
  contact	
  interacFons	
  from	
  inbound	
  and	
  outbound	
  acFviFes	
  –	
  call	
  center,	
  mail,	
  website,	
  etc.)	
  to	
  
bejer	
  understand	
  their	
  behaviors	
  and	
  propensiFes	
  when	
  it	
  came	
  to	
  invoicing.	
  	
  
•  Once	
  they	
  had	
  the	
  DNA	
  in	
  place,	
  they	
  created	
  a	
  model	
  to	
  enable	
  them	
  to	
  predict	
  which	
  customers	
  were	
  
most	
  likely	
  to	
  call	
  about	
  invoices.	
  	
  
•  The	
  ones	
  mostly	
  likely	
  to	
  inquire	
  received	
  a	
  personalized	
  video,	
  with	
  informaFon	
  about	
  their	
  current	
  status	
  
of	
  usage,	
  which	
  would	
  reflect	
  on	
  their	
  next	
  invoice.	
  Results	
  of	
  views	
  were	
  also	
  fed	
  back	
  into	
  the	
  system	
  for	
  
further	
  insights	
  
RESULTS	
  
•  Rolling	
  out	
  the	
  personalized	
  videos	
  to	
  the	
  right	
  customers,	
  resulted	
  in	
  call	
  reducFon	
  of	
  49%	
  for	
  customers	
  
who	
  viewed	
  video,	
  directly	
  impacFng	
  call	
  center	
  costs.	
  	
  
•  There	
  was	
  an	
  overall	
  call	
  reduc.on	
  of	
  30%	
  	
  
•  With	
  the	
  staFsFcal	
  model,	
  there	
  was	
  a	
  li4	
  of	
  5.6	
  in	
  predic.ng	
  the	
  callers	
  	
  
0%CALL REDUCTION
3	
  
31	
  Copyright	
  2014	
  NGDATA
®,	
  Inc.	
  	
  ConfidenFal	
  –	
  DistribuFon	
  prohibited	
  without	
  permission	
  	
  
Relevancy	
  –	
  What	
  Customer	
  Experience	
  is	
  All	
  About	
  	
  
OFFER
THE RIGHT
PERSON
THE RIGHT
TIME
THE RIGHT
CHANNEL
THE RIGHT
IMPROVED FREQUENCY
IMPROVED SEPARATION
32	
  Copyright	
  2014	
  NGDATA
®,	
  Inc.	
  	
  ConfidenFal	
  –	
  DistribuFon	
  prohibited	
  without	
  permission	
  	
  
Are	
  you	
  ready	
  to	
  use	
  Customer	
  DNA	
  to	
  
enhance	
  every	
  customer	
  experience?	
  
Learn	
  more	
  about	
  how	
  Lily	
  Enterprise	
  can	
  help	
  your	
  
company.	
  Schedule	
  an	
  appointment	
  with	
  an	
  NGDATA	
  
representaFve	
  to	
  get	
  a	
  personalized	
  walkthrough.	
  
Don’t	
  forget	
  to	
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  up	
  
and	
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Have smarter conversations with your customers

  • 1. Smarter  Customer  Conversa.ons   Using  Your  Data  for  Be1er  Inbound  Interac6ons   September  23,  2015   Steven  Noels   CTO,  NGDATA  
  • 2. 2  Copyright  2014  NGDATA ®,  Inc.    ConfidenFal  –  DistribuFon  prohibited  without  permission     Marke.ng  Shi4  
  • 3. 3  Copyright  2014  NGDATA ®,  Inc.    ConfidenFal  –  DistribuFon  prohibited  without  permission     A  customer  is  4  Fmes  more  likely  to  buy   from  a  compeFtor  if  the  problem  is  service   related  vs.  price  or  product  related.     -Bain Consulting
  • 4. 4  Copyright  2014  NGDATA ®,  Inc.    ConfidenFal  –  DistribuFon  prohibited  without  permission     Customers’  Expecta.on  Shi4       OFFER THE RIGHT PERSON THE RIGHT TIME THE RIGHT CHANNEL THE RIGHT IMPROVED FREQUENCY IMPROVED SEPARATION
  • 5. 5  Copyright  2014  NGDATA ®,  Inc.    ConfidenFal  –  DistribuFon  prohibited  without  permission     Understanding  Your  Customers   Anonymous   Iden.fied   Exis.ng   customers    
  • 6. 6  Copyright  2014  NGDATA ®,  Inc.    ConfidenFal  –  DistribuFon  prohibited  without  permission     Learning  From  Your  Customers   ▪ Data must come from all internal sources to ensure each communication opportunity is relevant ▪ Real-time knowledge must be applied to improve communication as individual preferences evolve over time ▪ Individuals interact with each channel differently, but need relevant and consistent communication with each ▪ Customers expect to be treated as individuals
  • 7. 7  Copyright  2014  NGDATA ®,  Inc.    ConfidenFal  –  DistribuFon  prohibited  without  permission     Technology  Barriers   regard  IT  roadblocks  and  lack  of  technology  as  barriers   to  adopFng  or  improving  customer  experience   Source: Econsultancy, Digital Marketing Exchange 84% No  SoluFons  –  No  AutomaFon  –  Manual  Work  –  Low  ROI  
  • 8. 8  Copyright  2014  NGDATA ®,  Inc.    ConfidenFal  –  DistribuFon  prohibited  without  permission     Organiza.onal  Barriers   “Customer  centricity  is  a  culture  of   puVng  the  customer  at  the  center  of   everything  you  do.”   —BRIAN SOLIS, Principal at Altimeter Group OrganizaFonal  change  is  required  to  put  the  customer     front  and  center.   This  means  more  than  just  a  technological  change,     it  means  a  desire  to  put  the  customer  first.    
  • 9. 9  Copyright  2014  NGDATA ®,  Inc.    ConfidenFal  –  DistribuFon  prohibited  without  permission     Make  your  conversaFons  more  relevant  
  • 10. 10  Copyright  2014  NGDATA ®,  Inc.    ConfidenFal  –  DistribuFon  prohibited  without  permission     Collect  real-­‐Fme  data  from  all   available  sources  on  the   inbound  visitor  –  web,  IVR,   purchase  history,  CRM,   markeFng  program  behavior,   etc.   Personalize  each  experience   with  the  right  messages  and   incenFves  based  on  trends,   preferences  and  behaviors   found  in  the  individual   profiles,  regardless  of  the   channel  chosen  by  the   customer       Build  individual  profiles  on   customers  that  consist  of  key,   acFonable  metrics.  Keep  track   of  trends  and  anomalies.  Use   this  informaFon  to  support  an   effecFve  mulFchannel   experience   Build  Strongly  Personalized  Profiles  
  • 11. 11  Copyright  2014  NGDATA ®,  Inc.    ConfidenFal  –  DistribuFon  prohibited  without  permission     Consistent   Regardless  of  the  channel  with   which  your  customer  interacts   with  you,  make  each  and  every   interacFon  consistent   Context  Aware   More  than  communicaFng   based  on  Fme  and  locaFon,   but  also  consider  markeFng   pressure  and  service   experience   Relevant   Based  on  behavioral  data  and   interacFons,  every   conversaFon  and  offer  must   be  relevant  to  the  individual   Op.mize  Customer  Interac.ons  
  • 12. 12  Copyright  2014  NGDATA ®,  Inc.    ConfidenFal  –  DistribuFon  prohibited  without  permission     Ensure  Consistency  with  Customer  DNA   a  collecFon  of  1000s  of  predefined   metrics,  calculated  in  real  .me  and   organized  per  iden.fied  customer   based  on  a  variety  of  interacFon-­‐   and  fact-­‐based  data  sources,  using   a  variety  of  predefined  calculaFon,   predicFon  and/or  retrieval   methods   providing  ac.onable  data  for   markeFng  &  customer-­‐centric   applicaFons  
  • 13. 13  Copyright  2014  NGDATA ®,  Inc.    ConfidenFal  –  DistribuFon  prohibited  without  permission     Capture  Every  Interac.on   M O B I L E A P P
  • 14. 14  Copyright  2014  NGDATA ®,  Inc.    ConfidenFal  –  DistribuFon  prohibited  without  permission     Capture  Every  Interac.on   A C C O U N T
  • 15. 15  Copyright  2014  NGDATA ®,  Inc.    ConfidenFal  –  DistribuFon  prohibited  without  permission     Capture  Every  Interac.on   W E B
  • 16. 16  Copyright  2014  NGDATA ®,  Inc.    ConfidenFal  –  DistribuFon  prohibited  without  permission     Capture  Every  Interac.on   M O B I L E W A L L E T
  • 17. 17  Copyright  2014  NGDATA ®,  Inc.    ConfidenFal  –  DistribuFon  prohibited  without  permission     Capture  Every  Interac.on   P U R C H A S E
  • 18. 18  Copyright  2014  NGDATA ®,  Inc.    ConfidenFal  –  DistribuFon  prohibited  without  permission     Capture  Every  Interac.on   A T M
  • 19. 19  Copyright  2014  NGDATA ®,  Inc.    ConfidenFal  –  DistribuFon  prohibited  without  permission     Capture  Every  Interac.on   C A L L C E N T E R
  • 20. 20  Copyright  2014  NGDATA ®,  Inc.    ConfidenFal  –  DistribuFon  prohibited  without  permission     Real  Time  Converted  into  Core  Metrics...    
  • 21. 21  Copyright  2014  NGDATA ®,  Inc.    ConfidenFal  –  DistribuFon  prohibited  without  permission     Real  Time  Converted  into  Core  Metrics...  Online  Interac.ons  
  • 22. 22  Copyright  2014  NGDATA ®,  Inc.    ConfidenFal  –  DistribuFon  prohibited  without  permission     Real  Time  Converted  into  Core  Metrics...  ATM  
  • 23. 23  Copyright  2014  NGDATA ®,  Inc.    ConfidenFal  –  DistribuFon  prohibited  without  permission     Real  Time  Converted  into  Core  Metrics...  Mobile  Interac.ons  
  • 24. 24  Copyright  2014  NGDATA ®,  Inc.    ConfidenFal  –  DistribuFon  prohibited  without  permission     Real  Time  Converted  into  Core  Metrics...  Call  Center  
  • 25. 25  Copyright  2014  NGDATA ®,  Inc.    ConfidenFal  –  DistribuFon  prohibited  without  permission     Real  Time  Converted  into  Core  Metrics...  Payments  
  • 26. 26  Copyright  2014  NGDATA ®,  Inc.    ConfidenFal  –  DistribuFon  prohibited  without  permission     Real  Time  Converted  into  Core  Metrics...  Every  Touch  
  • 27. 27  Copyright  2014  NGDATA ®,  Inc.    ConfidenFal  –  DistribuFon  prohibited  without  permission     Revolu.on:  Impact   Lily  Enterprise  adds  Ac1ons  and  Precision   Opera.onal  Systems   External  Data   Contract/Product  Data   Customer  OperaFonal  Data   Reference  Data   MarkeFng  and  Social    Data   Customer  InteracFon  Data   Campaign  Data   ERP/CRM  Data   Data  Warehouse  Data   Service  Desk   Customer  CRM  and  IVR  Systems   Web  and  Mobile   Mobile  Apps   Customer  Website   Channel  /  Campaigns   Mail   SMS   Print   Broadcast   MarkeFng   Campaign  Mgt   Sales  Office   Agent  /  Advisor   Social  Media   PERSON THE RIGHT OFFER THE RIGHT CHANNEL THE RIGHT TIME THE RIGHT FeedbackInput (Big)  Data  Lakes   BI/Analy.cs   Datawarehouses   Customer  360   Monitor   Drive   Partner  Apps  
  • 28. 28  Copyright  2014  NGDATA ®,  Inc.    ConfidenFal  –  DistribuFon  prohibited  without  permission     5  Key  Factors  to  Customer  Experience  Management     Customer  DNA   Atomic  Level  View   OperaFonalized  AnalyFcs   One  SoluFon,  MulFple  Uses   Omni-­‐channel  Impact  
  • 29. 29  Copyright  2014  NGDATA ®,  Inc.    ConfidenFal  –  DistribuFon  prohibited  without  permission     Knowing  Your  Audience  is  Growing  Your  Audience   OPPORTUNITY   •  Belgium’s  largest  newspaper  business  needed  to  adapt  business  to  compete  in  the  digital  age   and  saw  great  value  in  their  dramaFcally  growing  online  business   SOLUTION   •  Mediahuis  connected  online  visit  data  with  subscripFon  data  from  mulFple  systems  to   quickly  create  a  Customer  DNA  on  each  user     •  They  implemented  a  targeted  subscripFon  offer  based  on  behavior  and  propensity  scores   found  through  the  Customer  DNA  to  increase  subscripFons  for  two  of  their  brands.   RESULTS   •  AcquisiFon  models  showed  significant  predicFve  power  from  combined  data/Customer  DNA,   enabling  more  targeted  offers     •  Doubling  effecFveness  of  inbound  markeFng  programs   •  Adding  more  brands  to  the  program  and  beginning  targeted  inbound/acquisiFon  programs  to   more  effecFvely  engage  with  both  known  and  anonymous  users   2xINCREASE IN THE EFFECTIVENESS OF INBOUND MARKETING CAMPAIGNS
  • 30. 30  Copyright  2014  NGDATA ®,  Inc.    ConfidenFal  –  DistribuFon  prohibited  without  permission     Be[er  Service  /  Lower  Costs   OPPORTUNITY   •  Essent  supplies  electricity  and  gas  to  350,000  customers  in  Belgium,  owned  by  top  5  European  (German)   energy  supplier  RWE  Group   •  They  wanted  to  deliver  bejer  service  to  their  customers  while  lowering  their  call  center  costs  –  specifically   around  inbound  calls  regarding  invoicing  -­‐  which  can  be  lengthy  and  costly   SOLUTION   •  They  created  a  DNA  on  each  customer  from  data  stored  in  different  systems  (CRM  –  contract,  billing,  usage,   etc.,  and  contact  interacFons  from  inbound  and  outbound  acFviFes  –  call  center,  mail,  website,  etc.)  to   bejer  understand  their  behaviors  and  propensiFes  when  it  came  to  invoicing.     •  Once  they  had  the  DNA  in  place,  they  created  a  model  to  enable  them  to  predict  which  customers  were   most  likely  to  call  about  invoices.     •  The  ones  mostly  likely  to  inquire  received  a  personalized  video,  with  informaFon  about  their  current  status   of  usage,  which  would  reflect  on  their  next  invoice.  Results  of  views  were  also  fed  back  into  the  system  for   further  insights   RESULTS   •  Rolling  out  the  personalized  videos  to  the  right  customers,  resulted  in  call  reducFon  of  49%  for  customers   who  viewed  video,  directly  impacFng  call  center  costs.     •  There  was  an  overall  call  reduc.on  of  30%     •  With  the  staFsFcal  model,  there  was  a  li4  of  5.6  in  predic.ng  the  callers     0%CALL REDUCTION 3  
  • 31. 31  Copyright  2014  NGDATA ®,  Inc.    ConfidenFal  –  DistribuFon  prohibited  without  permission     Relevancy  –  What  Customer  Experience  is  All  About     OFFER THE RIGHT PERSON THE RIGHT TIME THE RIGHT CHANNEL THE RIGHT IMPROVED FREQUENCY IMPROVED SEPARATION
  • 32. 32  Copyright  2014  NGDATA ®,  Inc.    ConfidenFal  –  DistribuFon  prohibited  without  permission     Are  you  ready  to  use  Customer  DNA  to   enhance  every  customer  experience?   Learn  more  about  how  Lily  Enterprise  can  help  your   company.  Schedule  an  appointment  with  an  NGDATA   representaFve  to  get  a  personalized  walkthrough.   Don’t  forget  to  follow  up   and  share  with  a  friend   stevenn@NGDATA.com